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Stress-Testing Centralised Model Stores

Part of the Lecture Notes in Computer Science book series (LNPSE,volume 9764)


One of the current challenges in model-driven engineering is enabling effective collaborative modelling. Two common approaches are either storing the models in a central repository, or keeping them under a traditional file-based version control system and build a centralized index for model-wide queries. Either way, special attention must be paid to the nature of these repositories and indexes as networked services: they should remain responsive even with an increasing number of concurrent clients. This paper presents an empirical study on the impact of certain key decisions on the scalability of concurrent model queries, using an Eclipse Connected Data Objects model repository and a Hawk model index. The study evaluates the impact of the network protocol, the API design and the internal caching mechanisms and analyzes the reasons for their varying performance.


  • Model Index
  • Graph Database
  • Eclipse Modeling Framework
  • Query Response Time
  • Client Machine

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This research was part supported by the EPSRC, through the Large-Scale Complex IT Systems project (EP/F001096/1) and by the EU, through the MONDO FP7 STREP project (#611125).

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Correspondence to Antonio Garcia-Dominguez .

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Garcia-Dominguez, A., Barmpis, K., Kolovos, D.S., Wei, R., Paige, R.F. (2016). Stress-Testing Centralised Model Stores. In: Wąsowski, A., Lönn, H. (eds) Modelling Foundations and Applications. ECMFA 2016. Lecture Notes in Computer Science(), vol 9764. Springer, Cham.

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  • Print ISBN: 978-3-319-42060-8

  • Online ISBN: 978-3-319-42061-5

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